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Jianwen MENGView profile

Assistant Professor

• Fault diagnosis
• Fault tolerant control
• Condition monitoring
• +5 more

Jianwen MENG serves as an Assistant Professor at ESTACA, where he has been an Enseignant-chercheur (Teacher-Researcher) since 2020. He is affiliated with ESTACA'Lab, the institution's research laboratory focused on embedded energy systems and transportation technologies. His academic foundation includes a PhD in Electrical Engineering from Université Paris-Saclay (2020), a Master's degree in Electronic Systems and Electrical Engineering from the University of Nantes (2017), and a Bachelor's degree in Electrical Engineering and Automation from Jimei University, China (2015). Dr. MENG specializes in fault diagnosis, fault tolerant control, and energy management systems for electric vehicles and embedded applications. His research integrates advanced control theory with machine learning to address critical challenges in battery and fuel cell technologies, particularly focusing on state estimation, degradation prediction, and real-time monitoring under operational stress. Analysis of his recent publications (2024-2025) reveals a strong interdisciplinary trajectory blending electrical engineering with artificial intelligence. Key trends include AI-enhanced battery state estimation under fast-charging conditions, reinforcement learning for energy management in hybrid vehicles, and novel fault diagnosis frameworks for electrochemical systems. His work consistently targets practical implementation in automotive applications while advancing theoretical control methodologies. He received the Best Paper Award at the IEEE Prognostics and System Health Management Conference (PHM-Paris) in 2019 for his contributions to lithium-ion battery monitoring. At ESTACA, Dr. MENG teaches multivariable systems, real-time control, rapid prototyping, and advanced simulation tools across multiple engineering program levels. His pedagogical approach emphasizes hands-on implementation of theoretical concepts in embedded systems. As a core member of ESTACA'Lab, he contributes to cutting-edge research in automotive electrification, particularly through projects involving battery management systems, fuel cell degradation modeling, and fault-tolerant control architectures for next-generation electric vehicles.

Johanna B. HolmView profile

Assistant Professor

• Vaginal Microbiome
• Women's Reproductive Health
• Sexually Transmitted Infections
• +4 more

Johanna B. Holm is an Assistant Professor in the Department of Microbiology and Immunology at the University of Maryland School of Medicine, where she also holds appointments as a Member of the Institute for Genome Sciences and the Center for Advanced Microbiome Research and Innovation. Her laboratory integrates computational and experimental approaches to investigate the vaginal microbiome's role in women's reproductive health, with a focus on bacterial vaginosis (BV) and sexually transmitted infections (STIs). Her educational journey began with undergraduate research at Millersville University of Pennsylvania in Dr. Jean Boal's cephalopod laboratory, where she studied learning and communication in marine invertebrates. She earned her Ph.D. in Marine and Environmental Biology from the University of Southern California under Dr. Karla Heidelberg, conducting foundational work on coral-associated microbiomes and hypersaline lake ecology. Her postdoctoral training occurred in the laboratories of Dr. Rebecca Brotman and Dr. Jacques Ravel at the University of Maryland School of Medicine. Dr. Holm's research centers on defining microbial and molecular mechanisms by which cervicovaginal microbiota modulate host susceptibility to pathogens like Chlamydia trachomatis and Trichomonas vaginalis . Her lab develops bioinformatic tools for high-resolution microbiome analysis and employs 3D organotypic models to validate hypotheses. A key objective is replacing symptom-based diagnostics with metagenomic community state types (mgCSTs) that predict infection risk and BV recurrence, aiming to develop antibiotic-sparing interventions. Analysis of her recent publications reveals a strong emphasis on vaginal microbiome characterization through multi-omics integration, with consistent themes including pathogen-microbiome interactions, computational tool development (e.g., VALENCIA classifier), and translational applications for women's health. Her work spans methodological advances in low-biomass sample analysis, cross-population studies of microbiome-disease associations, and mechanistic investigations of host responses. Her scientific achievements have been recognized through: NIAID F32 Postdoctoral Fellowship (AI136400) NIAID K01 Career Development Award (AI163413) Dr. Holm actively mentors trainees in both bioinformatics and wet-lab techniques, emphasizing interdisciplinary skills for microbiome research. Her work is supported by the National Institute of Allergy and Infectious Diseases and focuses on translating discoveries into clinical applications for global reproductive health improvement. Her laboratory operates within the Institute for Genome Sciences at the Health Sciences Facility III, where it combines multi-omics data integration, epidemiological modeling, and in vitro experimental systems to advance understanding of mucosal pathogenesis and develop microbiome-informed diagnostics.

• Machine Learning in Biomedicine
• Statistical Genetics
• Systems Genetics
• +5 more

Dr. Francesco Paolo Casale serves as Principal Investigator in Machine Learning in Biomedicine at the Helmholtz Munich Institute AI for Health, part of Helmholtz Zentrum München and affiliated with Ludwig-Maximilians-Universität München's Biomedical Center. His research develops machine learning and statistical tools to analyze genetic cohorts with deep molecular and phenotypic data, addressing fundamental biomedical questions about disease mechanisms and progression. His academic foundation includes: PhD in Statistical Genetics from University of Cambridge & EMBL-EBI (2012-2016) M.Sc. in Physics of Complex Systems from Università di Napoli Federico II (2009-2012) B.Sc. in Physics from Università di Napoli Federico II (2009) Casale's research integrates machine learning, statistical inference, and systems genetics to develop scalable tools for genetic association studies, deep learning models for imaging genetics, and computational methods examining gene-environment interactions. His work emphasizes model robustness and interpretability while investigating molecular and cellular traits associated with disease severity. Current projects focus on rare variant analysis, aberrant gene expression prediction, and longitudinal omics data integration. His publication record shows a clear progression from foundational statistical genetics methods toward increasingly sophisticated integration of machine learning with multi-omics data. Recent work emphasizes practical biomedical applications including disease risk prediction through Mendelian randomization frameworks, advanced single-cell analysis techniques, and histopathology image classification. The research demonstrates consistent methodology development focused on scalability for large datasets while maintaining biological interpretability. Key recognitions include: Highly Recognized article in PloS Genetics Research Prize (2018) Microsoft Research New England Postdoctoral Fellowship (2017) EMBL studentship (2012) Honors for MSc and BSc degrees from Università di Napoli Federico II Throughout his career at Microsoft Research, Insitro, and Helmholtz Munich, Casale has led research teams developing computational approaches at the intersection of human genetics and machine learning. His work contributes to landmark projects including the 1000 Genomes Project and Blueprint initiative, with conference presentations at major venues including NeurIPS, ASHG, and EASL. Current grant support likely stems from Helmholtz Association funding mechanisms and collaborative biomedical research programs. He directs the Systems Genetics and Machine Learning Research team at Helmholtz Munich, which operates within the Biomedical Center ecosystem of LMU Munich. The team focuses on leveraging large-scale genetic datasets with machine learning to understand disease biology, with particular emphasis on target identification and characterization for therapeutic development. Current research directions include multi-timepoint omics analysis, disease subtyping, and developing interpretable models for clinical translation.

• Human Factors Engineering
• Automated Driving
• Driver State Modeling
• +2 more

Jonas Radlmayr is a Researcher at the Department of Ergonomics, Technical University of Munich, where he has been actively contributing since 2014 under Prof. Klaus Bengler's Chair. His work focuses on human factors in automated driving systems, with emphasis on driver-state modeling and transition-of-control mechanisms. Education: Diplom-Ingenieur (Master's equivalent) in Mechanical Engineering, Technical University of Munich (2013), specializing in Control Engineering and Ergonomics Radlmayr's research investigates critical human-automation interaction challenges in conditionally automated driving (Level 3). His work examines how driver drowsiness, non-driving tasks, and system reliability impact take-over performance during transitions of vehicle control. He has pioneered methodological frameworks including the Take-Over Performance Score (TOPS) for quantifying driver readiness and developed integrative models for drowsiness progression in automated contexts. His experimental designs address real-world challenges in human-machine interface validation and driver monitoring system development. Analysis of his 15 most recent publications reveals consistent focus on driver availability metrics, human factors in cut-in scenarios, and mental model formation regarding automation levels. The research demonstrates strong interdisciplinary connections between cognitive psychology, transportation engineering, and physiological monitoring, with recurring themes in usability evaluation frameworks and safety-critical transition protocols. As an integral member of TUM's Ergonomics Chair, Radlmayr utilizes advanced research infrastructure including the Dynamical Mock-Up, Modular Ergonomic Mockup, and Static Driving Simulator. His collaborative work with industry partners addresses practical implementation challenges in automated vehicle design while advancing theoretical understanding of human-automation teaming in transportation systems.

• Optical Networking
• Machine Learning in Network Automation
• Physical Layer Security
• +3 more

Carlos Natalino Da Silva is a Researcher at Chalmers University of Technology's Optical Networks Unit , focusing on network automation and machine learning applications in optical network design and security. His work addresses resource efficiency (e.g., spectrum optimization), physical layer security , and 6G readiness , with involvement in EU and Brazil-funded projects. He has also contributed to computer programming education in Brazil and Sweden. Research Interests : Machine learning for optical networks Network automation and programmability Physical layer security 6G network readiness Distributed computing optimization Recent Article Trends : His 2025-2024 publications emphasize ML for QoT estimation , state-of-polarization analysis , hybrid FSO-THz for 6G , and DRL-assisted resource allocation , reflecting a focus on convergence between AI, security, and next-gen optical systems. Projects & Collaborations : Current initiatives include Resilient Remote Environment Emulation (2025-2025, ARC-funded), ECO-eNET (2024-2028, EU), and EMPOWER - 6G (2024-2027). Past projects span PHOTONIC HARDWARE (VR-funded), TeraFlow (EU), and ANIARA (VINNOVA).

James RepettiView profile

Professor

• Tax Law
• International Taxation
• Estate and Gift Taxation
• +4 more

James Repetti is the William J. Kenealy, S.J., Professor of Law at Boston College Law School, where he has taught since 1986. He holds an A.B. from Harvard University, an M.B.A. from Boston College, and a J.D. from Boston College. As a nationally recognized tax expert, Repetti serves as co-author of three major textbooks including Introduction to United States International Taxation (7th Ed., 2022), Partnership Income Taxation (7th Ed., 2023), and Federal Wealth Transfer Taxation (2015). He has published extensively in top law reviews and is a fellow of the American College of Tax Lawyers with an AV Preeminent Martindale-Hubbell rating. Harvard University - A.B. Boston College - M.B.A. Boston College Law School - J.D. Repetti's research focuses on international taxation, estate and gift taxation, partnership tax structures, and tax equity principles. His work addresses both theoretical frameworks and practical applications in federal tax policy, with particular attention to wealth inequality, corporate governance, and cross-border tax implications. He co-founded BC Law’s Tax Policy Collaborative and has consulted for the U.S. Senate Budget Committee, Internal Revenue Service, and Justice Department. His scholarly contributions include over 20 books and numerous articles in journals such as the NYU Law Review , Vanderbilt Law Review , and Notre Dame Law Review . Repetti has received significant recognition, including Boston College Law School’s first Excellence in Teaching Award (1999) and election to the American College of Tax Counsel (2020). His commentary appears regularly in major media outlets including Bloomberg, Washington Post , and Wall Street Journal . Fellow, American College of Tax Lawyers AV Preeminent Martindale-Hubbell rating Excellence in Teaching Award, BC Law (1999) Member, American College of Tax Counsel (2020)

Bita AkramView profile

Assistant Professor

• Advanced Learning Technologies
• Artificial Intelligence and Intelligent Agents
• Data Sciences and Analytics
• +2 more

Dr. Bita Akram serves as an Assistant Professor in the Department of Computer Science at North Carolina State University, where her research bridges artificial intelligence, human-centered design, and adaptive learning technologies to transform computer science education accessibility and quality. Education Background B.S. in Computer Engineering from Sharif University of Technology (2013) M.S. in Computer Science from University of Calgary (2015) Ph.D. in Computer Science from North Carolina State University (2019) Research Focus Her expertise spans Advanced Learning Technologies for personalized education, Artificial Intelligence in intelligent tutoring systems, Data Sciences for learning analytics, Human-Computer Interaction in educational interfaces, and Knowledge Management for curriculum design. Current work emphasizes AI-driven solutions to democratize CS education through adaptive systems and scalable interventions. Publication Trends Recent publications (2018-2025) reveal a dual focus: leveraging AI for educational innovation (e.g., ChatGPT detection, adaptive feedback) and addressing equity gaps through persistence interventions. Her SIGCSE and IEEE publications consistently target scalable solutions for introductory programming challenges, with growing emphasis on gender-inclusive retention strategies. Research Funding Dr. Akram leads three NSF-funded projects: a $1.7M initiative developing the INSIGHT AI classroom assistant (2023-2027), a $175K study on women's CS retention via self-assessment interventions (2020-2023), and a $20K grant scaling the Early Research Scholars Program for underrepresented students (2020-2023). These projects demonstrate her commitment to evidence-based, scalable educational transformation. Academic Community As an active member of the Assistant Professors cohort within NC State's Computer Science department, she contributes to research groups focused on educational technology innovation and broadening participation in computing through grant-funded collaborations.

Wade L. ThorstadView profile

Professor

• Head and Neck Oncology
• Radiation Therapy
• Oropharyngeal Squamous Cell Carcinoma
• +3 more

Wade L. Thorstad, MD is a Professor of Radiation Oncology at Washington University School of Medicine, where he serves as Chief of the Head and Neck Cancer Service and Co-leader of the Siteman Cancer Center Head & Neck Tumor Center. With over 25 years of experience, Dr. Thorstad is a board-certified specialist in Radiation Oncology and Nuclear Medicine who has made significant contributions to head and neck cancer treatment. Dr. Thorstad received his BS in Biophysics from Trinity University (1986) and his MD from University of Texas Medical School (1991). He completed his residency in Radiation Oncology at Loyola University Medical Center (1995), a residency in Nuclear Medicine at Duke University Medical Center (1997), and a fellowship in Radiation Oncology at the Mayo Clinic (1998). He joined the Washington University faculty in 2000. Dr. Thorstad's research focuses on improving Head and Neck radiation therapy through intensity modulated radiation therapy (IMRT), studying patterns of failure, and developing treatment guidelines based on efficacy and toxicity. He integrates combined modality therapy using minimally invasive surgical techniques like transoral laser microsurgery (TLM) and transoral robotic surgery (TORS) with IMRT to maximize efficacy while minimizing toxicity. His work also incorporates patient-reported outcomes, anatomic and molecular imaging, and biomarkers to individualize cancer treatment. With over 167 publications and 10,517 citations, Dr. Thorstad's research spans head and neck oncology, HPV-related oropharyngeal cancer, radiation therapy techniques, and cancer imaging. His recent work emphasizes AI applications in cancer diagnosis, treatment outcomes for HPV-positive cancers, and personalized approaches to radiation therapy. Dr. Thorstad has received the Teacher of the Year Award from the Department of Radiation Oncology at Washington University (2011). His clinical expertise includes head and neck oncology, thoracic cancer, nuclear oncology, and PET imaging. As Chief of the Head and Neck Cancer Service and Co-leader of the Siteman Head and Neck Tumor Center, Dr. Thorstad leads a multidisciplinary team focused on advancing cancer care through research and clinical innovation. His work involves collaboration across radiation oncology, surgery, medical oncology, and pathology to develop comprehensive treatment approaches for head and neck cancer patients.

Adrienne Grêt-RegameyView profile

Professor

• Landscape Planning
• Environmental Science
• Ecosystem Services
• +5 more

Adrienne Grêt-Regamey serves as Full Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, where she heads the Institute for Spatial and Landscape Development. Her academic career spans over 15 years at one of Europe's leading technical universities, with significant leadership roles including Head of the Engagement Platform for Future Cities Lab Global since 2021. Her research focuses on the complex interactions between human activities and landscape evolution across temporal and spatial scales. Specializing in landscape planning and environmental science, she investigates land-use decision models through forecasting and backcasting approaches. A key innovation in her work involves developing state-of-the-art 3D visualizations and auralizations within her laboratory to understand public perception of landscape changes and create decision support tools for participatory planning processes. Her methodology emphasizes iterative design-science collaboration to develop place-specific solutions that balance human well-being with environmental sustainability. Analysis of her recent publications reveals a strong trend toward interdisciplinary research integrating spatial analysis, ecosystem services assessment, and participatory decision-making. Her work increasingly addresses urgent global challenges including renewable energy transitions, climate adaptation strategies, and urban-rural dynamics, often employing advanced computational methods like machine learning and immersive virtual reality environments. Dandelion Entrepreneurship Award (2023) Most Influential Female Award in Land System Science (2022) ERC Starting Grant for GLOBESCAPE project (2017) Swiss National Science Foundation Transdisciplinary Award (2013) ETH Silver Medals for both Master and PhD theses Grêt-Regamey actively contributes to scientific governance as Member of the Swiss Science Council (since 2024) and Advisory Committee of the Wyss Academy for Nature. She serves as Associate Editor for Landscape and Urban Planning and Editor for disP - The Planning Review. Her research program has secured significant funding including an ERC Starting Grant and multiple Swiss National Science Foundation projects, with current work focusing on integrating design and land system science to foster place-making in peri-urban landscapes. Her laboratory at ETH Zurich specializes in developing immersive 3D environments for landscape assessment and planning, with recent work extending into therapeutic applications of virtual reality. She leads the Future Cities Lab Global engagement platform, facilitating knowledge exchange between researchers, practitioners, and policymakers on sustainable urban development challenges worldwide.

Helvi WitekView profile

Associate Professor

• General Relativity
• Numerical Relativity
• Black Hole Physics
• +4 more

Helvi Witek is an Associate Professor in the Department of Physics and Astronomy at the University of Illinois Urbana-Champaign, with a joint appointment at the National Center for Supercomputing Applications (NCSA). She joined UIUC in 2020 as an Assistant Professor and was promoted to Associate Professor in 2024. Previously, she held prestigious fellowships including a Royal Society University Research Fellowship at King’s College London (2018–2019) and a Marie-Curie Fellowship at the University of Barcelona (2016–2017). Her research focuses on gravitation, cosmology, and astrophysics , specializing in numerical relativity, black hole dynamics, gravitational waves, and modified gravity theories. Key interests include: Scalarization in scalar-Gauss-Bonnet gravity Black hole hair growth and superradiant instabilities Neutron star mergers and viscous hydrodynamics Development of the numerical relativity library Canuda Her recent publications emphasize black hole physics in modified gravity , with trends including dynamical scalarization in binary mergers, stability analysis of self-interacting fields, and gravitational wave modeling for future detectors like LISA. Theoretical and numerical innovations dominate her work, often bridging fundamental physics with astrophysical observations. Awards and Honors: Royal Society University Research Fellowship (2018–2019) Marie-Curie Fellowship (2016–2017) She leads the Witek Gravity Group and co-developed a $680,000 NSF-funded Einstein Toolkit. She teaches courses including Classical Mechanics and General Relativity, receiving “Excellent Teacher” rankings from students.

• Wireless Communications
• Internet of Things (IoT)
• Electric Vehicles
• +6 more

Nagham Saeed serves as Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London, a position she has held since April 2023. Previously, she was Senior Lecturer in Electrical Engineering at the same institution from November 2017 to April 2023, following roles as Electronic Lecturer at Uxbridge College (2012-2017) and Electronic/Control Lecturer at Brunel University (2007-2012). Her academic credentials include: Ph.D. in Optimization in Wireless Networks and Communications (Brunel University, 2007-2011) M.Sc. in Mechatronics (University of Technology, Baghdad, 1997-1999) B.Eng. in Computer and Control (University of Technology, Baghdad, 1988-1992) DTLLS Diploma in Teaching (University of Westminster, 2012-2014) BAPP in Learning and Teaching (Brunel University, 2009-2010) Assessing Competence Certification (Uxbridge College, 2014) Dr. Saeed's research spans wireless communications, IoT, electric vehicles, and AI-driven energy optimization. Her work focuses on Bluetooth Low Energy applications for healthcare monitoring, battery management systems for EVs, sustainable ICT practices, and GIS-based land use analysis. She pioneers solutions for energy-efficient radio access networks and develops AI models for vehicle classification and low-resource language processing. Analysis of her 2022-2025 publications reveals three dominant trends: (1) AI integration for sustainable energy systems in telecommunications and transportation, (2) blockchain-secured vehicular networks for 6G infrastructure, and (3) cross-disciplinary applications of IoT in healthcare and environmental monitoring. Her research consistently bridges electrical engineering with computer science to solve real-world sustainability challenges. Professional recognition includes: MDPI Reviewer Acknowledgements (2020) for Algorithms, Applied Sciences, and Information journals While her 2022 educational research on feedforward teaching approaches demonstrates pedagogical engagement, no student supervision or grant management details are documented. Current institutional affiliations show no dedicated laboratory facilities or research teams specified in available records.

Aleksandra Mielewczyk-GryńView profile

Associate Professor

• Materials Engineering
• Nanotechnology
• Biomedical Materials
• +5 more

Dr. hab. inż. Aleksandra Mielewczyk-Gryń serves as an Associate Professor at the Institute of Nanotechnology and Materials Engineering within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology. She also holds the position of Deputy Dean for Organization in the same faculty, demonstrating significant academic leadership. Her research spans several critical areas in advanced materials science: Development of chitosan-based coatings with nanoparticles for biomedical applications Surface modification techniques for titanium implants High entropy oxides for energy applications Proton conducting ceramic electrochemical cells Perovskite materials for advanced electrochemical applications Analysis of her recent publications reveals a strong focus on biomedical materials engineering, particularly in developing antibacterial coatings for implants and advancing proton-conducting materials for energy applications. Her work combines fundamental materials science with practical biomedical and energy applications. Dr. Mielewczyk-Gryń actively leads multiple research projects including NightMission (Pomeranian Researchers Night), PG_UiO (collaboration with University of Oslo), and GoPHy MiCO (Governing Principles in Hydration of Mixed Conducting Oxides), securing funding from European and international programs.

Thomas Peter PlagemannView profile

Professor

• Data Stream Processing
• Sensors and AI for Health
• Internet of Things
• +3 more

Thomas Peter Plagemann is a Professor in the Department of Informatics at the University of Oslo , specializing in Data and Knowledge Systems . His research focuses on data stream processing , sensors and AI for health , Internet of Things , and mobile network applications . Current projects: Parrot (Privacy Engineering for IoT), Respire (Explainable ML for Sleep Disorders), and TRAMP (Real-Time Application Mobility) Editorial leadership: ACM Transactions on Multimedia Computing and past roles at Computer Communications and Multimedia Systems Recent publications analyze operator migration in stream processing , explainable AI for pediatric sleep apnea , and privacy-preserving healthcare systems . His work combines distributed computing , sensor networks , and machine learning applications in medical and mobile environments.

Mary Kay GugertyView profile

Professor

• Nonprofit policy and management
• International nonprofit policy
• East Africa and Horn of Africa
• +5 more

Mary Kay Gugerty serves as the Nancy Bell Evans Professor of Nonprofit Management & Philanthropy and Associate Dean for Teaching & Learning at the University of Washington's Evans School of Public Policy & Governance. She also holds adjunct faculty positions in Political Science and maintains affiliations with multiple research centers including the Center for Studies in Demography and Ecology, the Center for the Evaluation of Global Action at UC Berkeley, and Innovations for Poverty Action. Her educational background includes a Ph.D. in Political Economy and Government from Harvard University (2001), an MPA from the John F. Kennedy School of Government, and a BA in Political Science and Economics from Georgetown University. These credentials form the foundation for her interdisciplinary approach to nonprofit management and international development. Professor Gugerty's research spans three interconnected domains: evaluation and impact measurement in the social sector, where she developed the influential CART (Credible, Actionable, Responsible, and Transportable) framework; accountability mechanisms for nonprofits through her work on 'accountability clubs'; and rural development in sub-Saharan Africa with particular attention to agricultural decision-making and gender dynamics. Her scholarship consistently bridges theoretical rigor with practical application. Analysis of her publication record reveals evolving research trajectories from early work on ethnic diversity and collective action toward increasingly sophisticated frameworks for nonprofit evaluation that recognize organizational context and resource constraints. Her recent work emphasizes appropriate evidence systems rather than one-size-fits-all impact measurement approaches. Her significant honors include: 2018 Terry McAdam award for best book in nonprofit management 2016 William E. Mosher and Frederick C. Mosher Award for best paper 2005 Dean's Award for Excellence in Teaching and Service Professor Gugerty actively shapes her field through editorial leadership as Board of Editors for Nonprofit & Voluntary Sector Quarterly (2021-present) and Journal of Public Administration and Theory (2009-2013; 2019-2021). She currently directs the International Program in Public Health Leadership (IPPHL) and previously led the Nancy Bell Evans Center on Nonprofits and Philanthropy (2016-2022), demonstrating sustained commitment to building institutional capacity in nonprofit scholarship and practice. Her work exemplifies integration across academic research, practical application, and institutional leadership, with particular emphasis on creating evaluation frameworks appropriate for organizations of different sizes and missions rather than imposing uniform standards that may be inappropriate for smaller nonprofits.

Erin P. WardView profile

Assistant Professor

• Surgical Oncology
• Abdominal Cancers
• Appendix Cancer
• +7 more

Dr. Erin P. Ward is an Assistant Professor in the Department of Surgery at the University of Utah School of Medicine, specializing in Surgical Oncology at the Huntsman Cancer Institute. She is a board-certified surgical oncologist with expertise in the treatment of abdominal cancers, particularly appendiceal cancer, neuroendocrine tumors, gastric cancer, and metastatic colorectal cancer. Dr. Ward is recognized as an expert in peritoneal surface malignancies and advanced therapies including cytoreduction and hyperthermic intraperitoneal chemotherapy (HIPEC). Dr. Ward's educational background includes: Medical Degree: College of Human Medicine at Michigan State University Undergraduate: Physiology and Psychology with Specialization in Bioethics, Humanities and Society from Michigan State University Residency: General Surgery at University of California San Diego Fellowships: Complex General Surgical Oncology and Hepato-Pancreatic Biliary Surgery at Medical College of Wisconsin, plus a two-year research fellowship at University of California San Diego Dr. Ward's primary research focus centers on defining the impact of psychosocial health on both short-term and long-term outcomes for cancer patients. She serves as one of two Commission on Cancer Liaison Physicians at the Huntsman Cancer Institute and is actively involved in developing consensus guidelines for the management of various peritoneal surface malignancies. Her clinical expertise spans minimally invasive surgery, peritoneal-based malignancies, and HIPEC procedures, with special attention to patient-reported outcomes and decision-making processes. Her recent publications (2021-2025) demonstrate a strong focus on consensus guidelines for managing appendiceal tumors, peritoneal metastases, and other gastrointestinal malignancies. These works reflect her leadership in establishing standardized treatment approaches for complex surgical oncology cases, particularly those involving peritoneal surface disease. Her research spans both technical surgical aspects and patient-centered outcomes, including decision regret and psychosocial impacts of cancer treatment, showing a comprehensive approach to improving cancer care. Dr. Ward is board certified by the American Board of Surgery in both General Surgery and Complex General Surgical Oncology. She is actively involved in multiple national consensus guideline development efforts through the Peritoneal Surface Malignancies Consortium Group, contributing to evidence-based standards of care for rare and complex cancers. As an educator and clinician, Dr. Ward is committed to advancing the field of surgical oncology through both clinical practice and research. Her work bridges technical surgical expertise with attention to patient experience and psychosocial outcomes, reflecting a comprehensive approach to cancer care that addresses both the physical and emotional aspects of the disease.